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  • darch
  • Referenced in 321 articles [sw11086]
  • tuning with common known training algorithms like backpropagation or conjugate gradient...

  • torchdiffeq
  • Referenced in 59 articles [sw35082]
  • differential equation (ODE) solvers implemented in PyTorch. Backpropagation through all solvers is supported using...

  • Autograd
  • Referenced in 25 articles [sw22077]
  • derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation), which means it can efficiently take gradients...

  • neuralnet
  • Referenced in 10 articles [sw11052]
  • neural networks. Training of neural networks using backpropagation, resilient backpropagation with (Riedmiller, 1994) or without...

  • HyFIS
  • Referenced in 13 articles [sw24184]
  • data; and rule tuning phase using error backpropagation learning scheme for a neural fuzzy system...

  • CNTK
  • Referenced in 9 articles [sw21056]
  • implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple...

  • MCTS-Solver
  • Referenced in 5 articles [sw00565]
  • from the traditional MCTS in respect to backpropagation and selectionstrategy. It is able to prove...

  • DOSI
  • Referenced in 2 articles [sw27054]
  • values. While gradient-based methods, such as backpropagation, are frequently used to train multilayer feedforward...

  • NLProlog
  • Referenced in 2 articles [sw41560]
  • representations for the similarity function via backpropagation. This leads to a system that can apply...

  • S4NN
  • Referenced in 1 article [sw41327]
  • S4NN: temporal backpropagation for spiking neural networks with one spike per neuron. We propose ... network, named S4NN, akin to traditional error backpropagation, yet based on latencies. We show...

  • StatPatternRecognition
  • Referenced in 1 article [sw15007]
  • forest algorithms, and interfaces to the standard backpropagation neural net and radial basis function neural...

  • YAO
  • Referenced in 1 article [sw19683]
  • linear tangent, the second is a backpropagation on the graph that allows the computation...

  • Neataptic
  • Referenced in 1 article [sw27140]
  • Blazing fast neuro-evolution & backpropagation for the browser and Node.js. Neataptic offers flexible neural networks...

  • gvnn
  • Referenced in 1 article [sw31211]
  • original spatial transformers and allow backpropagation to enable end-to-end learning of a network...

  • Signatory
  • Referenced in 1 article [sw31482]
  • includes features such as GPU support and backpropagation. To our knowledge it is the first...

  • H-revolve
  • Referenced in 1 article [sw35925]
  • field of automatic differentiation or backpropagation. Finally, we evaluate the performance of H-Revolve...

  • Skip RNN
  • Referenced in 1 article [sw36445]
  • difficulty in capturing long term dependencies. In backpropagation through time settings, these issues are tightly...

  • NARA-WPE
  • Referenced in 1 article [sw38160]
  • integration into larger computational graphs and enables backpropagation through WPE to train more advanced front...

  • POSEIDON
  • Referenced in 1 article [sw40779]
  • parties. To efficiently execute the secure backpropagation algorithm for training neural networks, we provide...

  • DiffTaichi
  • Referenced in 1 article [sw40893]
  • reversed order, for end-to-end backpropagation. We demonstrate the performance and productivity...